Instructions to use ans-imran/dummy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ans-imran/dummy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="ans-imran/dummy")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("ans-imran/dummy") model = AutoModelForSequenceClassification.from_pretrained("ans-imran/dummy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
|
Download README.md from ans-imran/dummy: direct link, hf CLI and curl.
- Browser
- Download file 149 Bytes
-
https://huggingface.co/ans-imran/dummy/resolve/main/README.md
- Command line
-
hf download hf://ans-imran/dummy/README.md
-
curl -L -o README.md https://huggingface.co/ans-imran/dummy/resolve/main/README.md
149 Bytes
| library_name: transformers | |
| datasets: | |
| - stanfordnlp/sst2 | |
| language: | |
| - en | |
| pipeline_tag: text-classification | |
| The model was trained for 3 epochs. |